#Scikit-learn
Showing 60 of 436 repositories tagged #scikit-learn, ranked by stars
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
100 Days of ML Coding
Python Data Science Handbook: full text in Jupyter Notebooks
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Open standard for machine learning interoperability
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Your new Mentor for Data Science E-Learning.
Parallel computing with task scheduling
The "Python Machine Learning (1st edition)" book code repository and info resource
Open Machine Learning Course
Fast and Accurate ML in 3 Lines of Code
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A unified framework for machine learning with time series
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
The "Python Machine Learning (2nd edition)" book code repository and info resource
Flower: A Friendly Federated AI Framework
Fit interpretable models. Explain blackbox machine learning.
A scikit-learn compatible neural network library that wraps PyTorch
A curated list of project tutorials for project-based learning.
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Code Repository for Machine Learning with PyTorch and Scikit-Learn
:book: [译] scikit-learn（sklearn） 中文文档
The "Python Machine Learning (3rd edition)" book code repository
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Visual analysis and diagnostic tools to facilitate machine learning model selection.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Jupyter notebooks from the scikit-learn video series
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
High-Performance Symbolic Regression in Python and Julia
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Seamlessly integrate LLMs into scikit-learn.
Probably the best curated list of data science software in Python.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Carefully curated resource links for data science in one place
A python library for decision tree visualization and model interpretation.
a delightful machine learning tool that allows you to train, test, and use models without writing code
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Sequential model-based optimization with a `scipy.optimize` interface
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
An intuitive library to add plotting functionality to scikit-learn objects.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A modular active learning framework for Python
Feature engineering and selection open-source Python library compatible with sklearn.
Python library for portfolio optimization built on top of scikit-learn
Code, Notebooks and Examples from Practical Business Python
Using python and scikit-learn to make stock predictions
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.